Daftar Isi:
  • Inequality and equity become a major problem in the construction area, even these imbalances will lead to economic growth will not be helpful in solving the problem of poverty. In this study the authors take the title "Economic Inequality In Bengkulu Province and Factors Affecting (Years 2011-2014)". This study uses three (3) independent variables are the GDP, Population and HDI. This study aims to determine the level of economic inequality and the influence of the GDP, Population and HDI on the level of economic inequality in Bengkulu province in 2011-2014. This study uses secondary data and methods of analysis used in this study is panel data regression analysis. The results showed that the level of inequality in the Bengkulu Province is relatively low when seen from the calculation of the growth rate between the district and the province. While the panel data regression analysis results can be concluded that the Fixed Effects Model (FEM) is a panel data regression model is most appropriate. Based on test validity or the effect of the t test, the GDP variable has a significant influence on the negaitif and economic inequality while variable Population and HDI has a positive and significant impact. Based on the test F, variable PDRB, Population and HDI simultaneously or jointly affect the economic imbalances